Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
28277
Single Precision Score
49109
Half Precision Score
21991
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11351
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
19177
3.57 KIPS |
|
|
Image Classification (Q)
|
100% |
10298
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18993
307.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27518
446.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17450
283.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
165645
193.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
474777
554.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
142655
167.1 IPS |
|
|
Object Detection (SP)
|
100% |
15251
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
25558
2.03 KIPS |
|
|
Object Detection (Q)
|
83% |
12681
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
40242
478.2 IPS |
|
|
Face Detection (HP)
|
100% |
58418
694.1 IPS |
|
|
Face Detection (Q)
|
97% |
34013
405.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
69829
538.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
129165
995.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
54530
435.2 IPS |
|
|
Style Transfer (SP)
|
100% |
231729
297.9 IPS |
|
|
Style Transfer (HP)
|
100% |
787355
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
198844
256.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42411
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78649
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33686
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3815
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4708
6.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2394
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5696
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5792
99.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2736
51.3 IPS |
